Paper Citation Record · LEDGER

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.12864.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.12864 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:46:26.298441Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy4
unresolved37
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db376413-3e6b-4797-a63e-38bc28c7cbcb · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.017071Z

Source-reported events for the cited work

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Observation b70607f6-1188-41ee-aaa8-1632709928e3 · outbound

This paper cites \"O .; and Pfister, T.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset \"O .; and Pfister, T

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:46:27.177209Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a96379d7-f0c7-4122-b710-91ecab2c97ae · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:27.157237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42f517a5-c64b-4df0-a460-81702663dc62 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:27.136414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9d2dbbb-9f23-4e1f-b902-e9b83005c952 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.050122Z

Source-reported events for the cited work

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Observation a4054367-a1f4-443b-ae52-643cf09bdf21 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.055620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d54ce4-aa41-4161-bf48-e6556ce623a5 · outbound

This paper cites A.; Srivastava, A.; Liu, X.; and Van Dooren, P.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset A.; Srivastava, A.; Liu, X.; and Van Dooren, P

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:46:27.089196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3bcca053-7782-43e0-bfc0-187697145416 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:27.069060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98120b29-5bb5-4d99-892d-faa5ffcbf9ee · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation a02a591a-055b-4bce-aa89-5afbea177cda · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44419203-473d-4538-a32b-d9db4c2eb5db · outbound

This paper cites Why do tree-based models still outperform deep learning on tabular data?.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Why do tree-based models still outperform deep learning on tabular data?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.082903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d5f49b8-12e6-4a67-bcc3-c6fa7501fa88 · outbound

This paper cites TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.089515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 136c117d-ba78-429a-9bf7-98a12d753113 · outbound

This paper cites TAPAS: Weakly Supervised Table Parsing via Pre-training.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.095914Z

Source-reported events for the cited work

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Observation 0b6821bb-788b-43d1-847a-477554b124bf · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:27.009770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 806c8524-f103-46b8-9011-bfc5c83e8ed8 · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.109488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d2f249-1f5c-4cd2-bf40-40bd0479d3e0 · outbound

This paper cites TABBIE: Pretrained Representations of Tabular Data.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TABBIE: Pretrained Representations of Tabular Data

Reference 16

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Source-reported events for the cited work

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Observation 90598443-2c01-4ad1-8ab2-2044be8e641c · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.988362Z

Source-reported events for the cited work

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Observation d21fc946-e340-4ced-8ff3-2b279b07d7cd · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.967590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7fc0fae-02d0-416e-a168-49e53a5d1a1e · outbound

This paper cites N.; Rainforth, T.; and Gal, Y.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset N.; Rainforth, T.; and Gal, Y

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:46:26.948130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 817de43a-2fd5-41de-96be-f73e36489513 · outbound

This paper cites Latent Retrieval for Weakly Supervised Open Domain Question Answering.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Latent Retrieval for Weakly Supervised Open Domain Question Answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.148375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bbc86d8-fc2f-4bf6-8f7f-6a7362f391a8 · outbound

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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset \"O .; Loeff, N.; and Pfister, T

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.154244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb601fb0-fe3e-4d42-82e1-e628a45037e5 · outbound

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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Decoupled Weight Decay Regularization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.160006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 322afa16-cd7f-447c-a034-7d192400819e · outbound

This paper cites Grassmann angles between real or complex subspaces.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Grassmann angles between real or complex subspaces

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd1d633e-af4a-4782-a652-f61d726c343c · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.913697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09c3f5c5-a46d-4d41-a543-202314328fa0 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Representation Learning with Contrastive Predictive Coding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.177999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07407b12-9ee9-4c50-9eae-2b7662ec7417 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.895382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 753c1f74-ae20-4cf1-a378-64d2f45e3d7f · outbound

This paper cites V.; and Gulin, A.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset V.; and Gulin, A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:46:26.877857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 008b43c3-a74f-4deb-b75a-8b091fce78a7 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.859596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3883e4e8-6238-4a19-8f11-58488e0dbc06 · outbound

This paper cites Strong Baselines for Neural Semi-supervised Learning under Domain Shift.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Strong Baselines for Neural Semi-supervised Learning under Domain Shift

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:46:26.424774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 611f7554-d93b-4194-9079-ada1f73e919a · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.839717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b6d18639-1580-4f93-a4c8-f703dda1403a · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 31

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Source-reported events for the cited work

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Observation 33f63e51-930a-4c5e-a1bf-6f1f584e7cb4 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01fcb83-9063-4134-b354-4b911e2f6667 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.804767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 685cbb0f-b91c-4201-ad59-4e4193308d47 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.782862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee38dfa3-9f83-4a66-a86a-bbaac9f72674 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.755459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ee72163-439a-43fa-b61c-2b8ef49b25df · outbound

This paper cites N.; Kaiser, L.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset N.; Kaiser, L

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.249980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b8a4a6-dc30-4b88-8dcb-32b47f49add3 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.714690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f20c5fa8-4068-4bf0-9991-dd8b31c22dd3 · outbound

This paper cites TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.263454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d159c9-1bed-413b-b8d6-0391d9903070 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:46:26.691304Z

Source-reported events for the cited work

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Observation 6f8782ec-7a20-44a0-be59-2fc5ec600b72 · outbound

This paper cites Barlow Twins: Self-Supervised Learning via Redundancy Reduction.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:26.277338Z

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Observation 0c73d996-6a37-44d9-9f64-47d211a62c17 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset , " * write output.state after.block = add.period write newline

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Observation f5fbbb5f-d122-4dec-b187-e9ebec96e7d4 · outbound

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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset write newline

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Pith citing papers

No inbound Pith citation observations are available.